Zobrazeno 1 - 10
of 24
pro vyhledávání: '"José Daniel López Cabrera"'
Publikováno v:
Medisur, Vol 20, Iss 2, Pp 341-351 (2022)
Esta investigación pretende dilucidar, a partir del análisis de técnicas de inteligencia artificial explicables, la robustez y el nivel de generalización de los métodos de visión por computadora propuestos para identificar COVID-19 utilizando i
Externí odkaz:
https://doaj.org/article/2722bebb1e2a430c8ff8c915eb814394
Publikováno v:
Inteligencia Artificial, Vol 23, Iss 65 (2020)
Breast cancer is the most frequent in females. Mammography has proven to be the most effective method for the early detection of this type of cancer. Mammographic images are sometimes difficult to understand, due to the nature of the anomalies, the l
Externí odkaz:
https://doaj.org/article/a6b4fe1d879d4af2afe9105331e69efa
Publikováno v:
Holos, Vol 5, Iss 0, Pp 101-115 (2018)
En el presente trabajo se realiza una investigación del comportamiento de la técnica de aprendizaje automático SVM en diferentes ambientes controlados, usando cinco kernel. Primero se analiza el comportamiento de los clasificadores ante datos con
Externí odkaz:
https://doaj.org/article/ced0560e6dd14170be66504fd8f6b526
Publikováno v:
Inteligencia Artificial, Vol 23, Iss 65 (2020)
Breast cancer is the most frequent in females. Mammography has proven to be the most effective method for the early detection of this type of cancer. Mammographic images are sometimes difficult to understand, due to the nature of the anomalies, the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0384ae6a3d7d0b0c797a4a1d8bed3fdf
https://doi.org/10.4114/intartif.vol23iss65pp56-66
https://doi.org/10.4114/intartif.vol23iss65pp56-66
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030896904
IWAIPR
IWAIPR
This paper addresses two strategies for pattern recognition in high-dimension data sets, obtained from databases of digitally traced neurons. The first strategy has as distinctive characteristic that the features are obtained both from the whole neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eada74893255708cb0f8b5c38c89a06c
https://doi.org/10.1007/978-3-030-89691-1_15
https://doi.org/10.1007/978-3-030-89691-1_15
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030896904
IWAIPR
IWAIPR
Diabetic foot ulcers are one of the common complications that diabetic patients present. Poorly treated lesions can lead to the amputation of the limbs and even cause death. Therefore, the identification and follow-up of the lesions are of vital impo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::773e99cae4b90aff83bc6e34b57c7b85
https://doi.org/10.1007/978-3-030-89691-1_29
https://doi.org/10.1007/978-3-030-89691-1_29
Autor:
Leonardo Agustín Hernández-Pérez, Juan V. Lorenzo-Ginori, José Daniel López-Cabrera, Rubén Orozco-Morales
Publikováno v:
Journal of neuroscience methods. 343
Background This article addresses the automatic classification of reconstructed neurons through their morphological features. The purpose was to extend the capabilities of the L-Measure software. Methods New morphological features were developed, bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a9d4c759400f249632a8a1044c57422
https://pubmed.ncbi.nlm.nih.gov/32615140
https://pubmed.ncbi.nlm.nih.gov/32615140
Publikováno v:
HOLOS; v. 5 (2018); 101-115
Holos
Instituto Federal do Rio Grande do Norte (IFRN)
instacron:IFRN
Holos, Vol 5, Iss 0, Pp 101-115 (2018)
Holos
Instituto Federal do Rio Grande do Norte (IFRN)
instacron:IFRN
Holos, Vol 5, Iss 0, Pp 101-115 (2018)
En el presente trabajo se realiza una investigación del comportamiento de la técnica de aprendizaje automático SVM en diferentes ambientes controlados, usando cinco kernel. Primero se analiza el comportamiento de los clasificadores ante datos con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81c96a926d276c3c70a3e8173e4b418b
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/5563
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/5563
Autor:
Rubén Orozco-Morales, Leonardo Agustín Hernández-Pérez, José Daniel López-Cabrera, Juan V. Lorenzo-Ginori
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030011314
IWAIPR
IWAIPR
The nonlinear dynamic analysis of time series is a powerful tool which has extended its application to many branches of scientific research. Topological equivalence is one of the main concepts that sustain theoretically the nonlinear dynamics procedu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0a72f4f9a7f90ece9441314afbb446d
https://doi.org/10.1007/978-3-030-01132-1_2
https://doi.org/10.1007/978-3-030-01132-1_2
Publikováno v:
Computación y Sistemas. 21
The great advances in the field of neuron tracing have made possible a high availability of free-access data in the Internet, which encourages the realization of automatic classifications. The increase of neuronal reconstruction databases makes the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1131c14b9804192468f000bfe6a9b06f
https://doi.org/10.13053/cys-21-3-2495
https://doi.org/10.13053/cys-21-3-2495